NEO and imminent impactor discoveries from Hungary: recent results and lessons learnt
Norton O. Szabo, Krisztian Sarneczky, Laszlo L. Kiss, Szabolcs Velkei, Attila Bodi, Zsofia Bora, Balazs Csak, Borbala Cseh, Agoston Horti-David, Andras Joo, Csilla Kalup, Zoltan Kuli, Laszlo Meszaros, Andras Pal, Balint Seli, Adam Sodor, Robert Szakats, Nora Takacs
TL;DR
The paper analyzes how the Piszkéstető NEO survey, leveraging successive CCD upgrades and real-time data processing, achieved notable sensitivity to meter-sized, imminent impactors and contributed three such discoveries (2022 EB5, 2023 CX1, 2024 BX1). It details the instrumental and operational evolution, including a 2020 STA 1600LN CCD with a ~$9$ deg$^{2}$ field of view, remote operations, synthetic tracking, and the NEODetect AI tool, all aimed at rapid follow-up and orbit refinement. It presents survey performance metrics (covering ~42% of the sky over 2022–2024, $289$ NEOs by mid-2025 with $97 ext%$ confirmation) and highlights a bias toward Earth-crossing Apollo/Aten orbits, underscoring the practical value for planetary defense. The authors advocate a next phase of real-time discovery with AI-assisted image analysis and a second on-site telescope to boost discovery rates, stressing the importance of geographically distributed, dedicated facilities alongside large surveys like LSST for timely imminent-impact object detection.
Abstract
2022 EB5, 2023 CX1 and 2024 BX1: these are the three recent imminent impactor discoveries from the Piszkéstető Mountain Station of the Konkoly Observatory. They make up about one percent of all NEO discoveries from our observatory and here we provide a detailed description of our approach and methodology that led to this noticeable observational sensitivity to these meter-sized impactors. After outlining the historical background of astronomical discoveries from Hungary, we introduce our recently upgraded survey instrumentation and outline the observational strategy and its implementation. We highlight the importance of strong feedback between analysis and ongoing data collection, maximizing the value of immediate follow-up. Finally, we discuss plans for moving forward to increase the sensitivity and the temporal coverage of our survey.
